code: def squared_dist_test_data(self):
      data = [
          dict(
              point_a=gs.array([[EULER, 0.0], [2.0, EULER**3]]),
              point_b=gs.array([[EULER**3, 0.0], [4.0, EULER**4]]),
              expected=gs.array(9.0),
          ),
          dict(
              point_a=gs.array(
                  [
                      [[EULER, 0.0], [2.0, EULER**3]],
                      [[EULER, 0.0], [4.0, EULER**3]],
                  ]
              ),
              point_b=gs.array(
                  [
                      [[EULER**3, 0.0], [4.0, EULER**4]],
                      [[EULER**3, 0.0], [7.0, EULER**4]],
                  ]
              ),
              expected=gs.array([9.0, 14.0]),
          ),
      ]
      return self.generate_tests(data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import VectorSpaceOpenSetTestData
  from .invariant_metric import InvariantMetricMatrixTestData
  from .lie_group import MatrixLieGroupTestData
  from .pullback_metric import PullbackDiffeoMetricTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 6 for calling the CholeskyMetric2TestData obj's underlying member method code with example usage: obj.squared_dist_test_data() and returns: self